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STROKIX for Fintech: Compliance-Ready AI That Auditors Actually Trust
Fintech companies operate under a paradox: move fast to compete, but one compliance failure can end you. Your team juggles transaction monitoring across payment processors, reconciliation between banking partners, and regulatory reporting that pulls from six systems. STROKIX brings all of it into one queryable layer with the security posture regulators expect.
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Transaction Monitoring Across Payment Rails
Your compliance team monitors transactions across Stripe, banking APIs, and internal ledgers. Each system has its own dashboard and its own blind spots. STROKIX connects to your payment infrastructure through 33 connectors. Proactive agents run continuous queries against transaction data, flagging velocity anomalies and threshold breaches that span multiple systems.
HITL approval gates ensure no automated action, such as freezing an account or filing a SAR, executes without human review.
Multi-System Reconciliation in Seconds
Ask STROKIX 'Show me all transactions where our ledger balance differs from the processor settlement by more than $0.01 today' and get an answer in seconds. The system queries both sources, performs the comparison, and returns the exceptions with transaction IDs and timestamps.
For recurring reconciliation, event-driven agents run this check automatically at settlement time and post results to your ops channel.
The Audit Trail Regulators Want to See
STROKIX's HMAC-signed audit trail records every query, every agent action, every data retrieval immutably with cryptographic signatures that prove the log has not been tampered with.
PostgreSQL rules block UPDATE and DELETE on audit records. When auditors ask for a complete history of all AI-assisted decisions in a given quarter, you export the log and they can independently verify its integrity.
Security Architecture for Regulated Environments
STROKIX uses AES-256-GCM with tenant-derived keys, meaning each organization's connector credentials are encrypted with keys that cannot decrypt another tenant's data.
Row-level security at the database layer, RBAC inherited from source systems, and per-IP rate limiting on all authentication endpoints round out the security model.
